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Description

To succeed in the digital marketplace, it is essential for your data to be of the utmost quality and decision-grade, as it fuels your key operations. Tricentis Data Integrity ensures that your data remains complete and suitable throughout its journey from source systems to data warehouses, ultimately reaching your reports, dashboards, and business operations. The journey of your analytical and operational data is fraught with potential disruptions as it traverses an increasingly intricate IT landscape. Prevent costly downstream problems by identifying data errors early with Tricentis Data Integrity, a comprehensive solution that offers automated and continuous testing across all stages. In the fast-paced digital landscape we face today, relying solely on traditional data testing practices falls short. Outdated manual data checks are not only cumbersome and time-consuming but also lack the scalability needed, while point solutions can create hazardous gaps in your data integrity. Embracing advanced testing tools is now more critical than ever to ensure data reliability and operational success.

Description

Eliminate all manual procedures, potential error sources, and inefficiencies. Avoid the need to constantly re-engineer your data warehouse with every shift in business requirements. Implement automatic quality checks both between and within data sources and respond swiftly when issues arise, which is essential for numerous data users. It’s important to genuinely trust your data now. Create a “gold record” reference point to ensure that business teams always have access to the most up-to-date information available. Establish one unified version of the truth that can be accessed anytime, anywhere. Develop an intermediate model that organizes, stores, and preserves your data independently of how it will be used. Be agile in responding to evolving data sources and business inquiries. Seamlessly connect all your data sources—from data lakes and operational systems to spreadsheets and legacy tools—just like you would with the initial one. Ensure data is stored, preserved, and enhanced in quality to streamline data warehouse automation processes. Data should be organized, enriched, and thoroughly documented so that it is accessible in well-structured datasets (information marts). In doing so, you pave the way for more efficient decision-making across the organization.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Sheets No 
Microsoft Excel No 
Microsoft Power BI No 
Planview Hub Yes 
Planview Software Product Delivery Yes 
Qlik Data Integration No 
SAP Store Yes 
SBOX Yes 
Tableau No 
Toucan No 

Integrations

Google Sheets Yes 
Microsoft Excel Yes 
Microsoft Power BI Yes 
Planview Hub No 
Planview Software Product Delivery No 
Qlik Data Integration Yes 
SAP Store No 
SBOX No 
Tableau Yes 
Toucan Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Tricentis

Founded

2007

Country

United States

Website

www.tricentis.com/products/data-integrity/

Vendor Details

Company Name

dFakto

Founded

2000

Country

Belgium

Website

www.dfakto.com/datafaktory-data-warehouse-automation/

Product Features

Automated Testing

Hierarchical View No 
Move & Copy No 
Parameterized Testing No 
Requirements-Based Testing No 
Security Testing No 
Supports Parallel Execution No 
Test Script Reviews No 
Unicode Compliance No 

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

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